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Details for article 7 of 12 found articles
| Title: |
Mining Level-Crossing Association Rules from Large Databases |
| Author: |
R.S. Thakur R.C. Jain K.R. Pardasani |
| Appeared in: |
Journal of computer science |
| Paging: | Volume 2 (2006) nr. 1 pages 76-81 |
| Year: |
2006 |
| Contents: |
Existing algorithms for mining association rule at multiple concept level, restricted mining strong association among the concept at same level of a hierarchy. However mining level-crossing association rule at multiple concept level may lead to the discovery of mining strong association among at different level of hierarchy. In this study, a top-down progressive deepening method is developed for mining level-crossing association rules in large transaction databases by extension of some existing multiple-level association rule mining techniques. This method is using concept of reduced support and refine the transaction table at each level. |
| Publisher: |
Science Publications (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 7 of 12 found articles
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